KANTEEK / Services
Data & Analytics
Turn your data into decisions.
KANTEEK
Data & Analytics
You've probably said it: «we have the data but we don't know what to do with it». That's normal, 90% of companies are in that position. Data is there but scattered, poorly modeled, invisible to people who should see it.
We build solid, documented, governed data platforms: ETL/ELT pipelines, data warehouses, self-service dashboards. Goal: every decision-maker has the right data at the right time.
What we set up
- ETL/ELT pipelines
- Ingestion from your CRM, ERP, SaaS apps, SQL databases, flat files. Apache Airflow, dbt, Fivetran, Meltano.
- Data warehouse
- Dimensional or Data Vault modeling. Snowflake, BigQuery, Databricks or ClickHouse depending on volumes.
- Business dashboards
- Self-service dashboards for execs, sales, ops. Metabase, Looker Studio, Power BI, Tableau.
- Real-time analytics
- Streaming with Kafka + ClickHouse for second-by-second dashboards. Live anomaly detection.
- Data quality & catalog
- Great Expectations tests, quality monitoring, data catalog (DataHub, Amundsen). Every table has an owner.
- Governance & compliance
- Anonymisation, pseudonymisation, fine-grained access control, GDPR and CNDP traceability.
Real-world use cases
Retail · 40 stores
360° sales view
Merging POS, e-commerce, marketplaces, inventory. Exec dashboard browsable every morning in 3 clicks.
80% data-driven decisions
Fintech
Real-time fraud scoring
Kafka + ClickHouse scoring every transaction in < 50ms. Escalation to analysts past threshold.
-73% fraud
Manufacturing
Factory dashboard
IoT sensors → Kafka → real-time dashboard for maintenance team. Predictive downtime detection.
+22% OEE
How we work
- 01
Data audit
Source inventory, business KPI mapping, gap identification.
- 02
Architecture & PoC
Data platform design, PoC on 1-2 concrete use cases in 4 weeks.
- 03
Industrialisation
Pipelines, DWH modeling, dashboards, documentation.
- 04
Adoption & evolution
Analyst and business training. Quarterly usage review. New dashboards as needs arise.
Our data stack
- Snowflake
- BigQuery
- Databricks
- ClickHouse
- Apache Airflow
- dbt
- Kafka
- Apache Spark
- Metabase
- Looker Studio
- Power BI
- Tableau
- DataHub
01Where to start from zero?
1 to 3 critical business KPIs. Identify sources, ship an MVP data platform on those KPIs in 6-8 weeks, roll out dashboards. Then extend.
02Which BI tool do you recommend?
Metabase to start (open-source, free, simple). Looker Studio if on GCP. Power BI if your company is Microsoft. Tableau for highly demanding visualisation.
03On-premise or cloud storage?
Cloud by default (Snowflake, BigQuery) for simplicity, elasticity and cost. On-premise or sovereign cloud for strong regulatory constraints.
04How do you handle GDPR / CNDP compliance?
Anonymisation / pseudonymisation at ingestion, fine-grained role-based access, access traceability, DPA signed with each subprocessor.
05How much does a data platform cost?
SME: €5-20k setup + €500-2000/mo. Mid-market: €30-80k + €3-15k/mo.
06How long until first results?
First useful dashboard: 4-6 weeks. Full platform: 3-6 months. We work in short sprints so you see value from the first months.
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KANTEEK / Contact us
Your data is rich. Let's use it.
Tell us which KPIs you wish you could see every morning. We show you how in 24h.